Co-occurring keywords · papers mentioning both
feature selection
(2)
variable selection
(2)
supervised principal component
(1)
high-dimensional prediction
(1)
simultaneous orthogonal matching pursuit
(1)
ultra-high dimensional regression
(1)
multiple output learning
(1)
bic model selection
(1)
ultrahigh-dimensional data
(1)
consistency theory
(1)
Papers
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
JMLR 2022
Nonparametric Variable Screening with Optimal Decision Stumps
AISTATS 2021
Ensemble-based Ultrahigh-dimensional Variable Screening
IJCAI 2019
Iterative Supervised Principal Components
AISTATS 2018
Combined l1 and Greedy l0 Penalized Least Squares for Linear Model Selection
JMLR 2015
On the consistency theory of high dimensional variable screening
NeurIPS 2015
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach
AISTATS 2010